Increasing Accuracy by Decreasing Presentation Quality in Transcription Tasks. - Frank Soboczenski; Paul A. Cairns; Anna Louise Cox (INTERACT (2), 2013)

The effect of interface elements on transcription tasks to reduce number-entry errors. - Frank Soboczenski (2014)

Modelling fault dependencies when execution time budgets are exceeded. - David Griffin 002; Benjamin Lesage; Iain Bate; Frank Soboczenski; Robert I. Davis 001 (RTNS, 2015)

A framework for the evaluation of measurement-based timing analyses. - Benjamin Lesage; David Griffin 002; Frank Soboczenski; Iain Bate; Robert I. Davis 001 (RTNS, 2015)

Study of the reliability of statistical timing analysis for real-time systems. - Dorin Maxim; Frank Soboczenski; Iain Bate; Eduardo Tovar (RTNS, 2015)

The Effects of Perceptual Interference on Number-Entry Errors. - Frank Soboczenski; Matthew Hudson; Paul A. Cairns (Interact. Comput., 2016)

Exploring and Understanding Multicore Interference from Observable Factors. - Benjamin Lesage; David Griffin 002; Iain Bate; Frank Soboczenski (Automotive - Safety & Security, 2017)

Forecast-based interference: modelling multicore interference from observable factors. - David Griffin 002; Benjamin Lesage; Iain Bate; Frank Soboczenski; Robert I. Davis 001 (RTNS, 2017)

Bayesian Deep Learning for Exoplanet Atmospheric Retrieval. - Frank Soboczenski; Michael D. Himes; Molly D. O'Beirne; Simone Zorzan; Atilim Gunes Baydin; Adam D. Cobb; Daniel Angerhausen; Giada N. Arney; Shawn D. Domagal-Goldman (CoRR, 2018)

An Ensemble of Bayesian Neural Networks for Exoplanetary Atmospheric Retrieval. - Adam D. Cobb; Michael D. Himes; Frank Soboczenski; Simone Zorzan; Molly D. O'Beirne; Atilim Günes Baydin; Yarin Gal; Shawn D. Domagal-Goldman; Giada N. Arney; Daniel Angerhausen (CoRR, 2019)

Machine learning to help researchers evaluate biases in clinical trials: a prospective, randomized user study. - Frank Soboczenski; Thomas A. Trikalinos; Joël Kuiper; Randolph G. Bias; Byron C. Wallace; Iain James Marshall (BMC Medical Informatics Decis. Mak., 2019)

Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization. - Byron C. Wallace; Sayantan Saha; Frank Soboczenski; Iain James Marshall (CoRR, 2020)

Trialstreamer: A living, automatically updated database of clinical trial reports. - Iain James Marshall; Benjamin E. Nye; Joël Kuiper; Anna Noel-Storr; Rachel Marshall; Rory Maclean; Frank Soboczenski; Ani Nenkova; James Thomas 001; Byron C. Wallace (J. Am. Medical Informatics Assoc., 2020)

Prototyping CRISP: A Causal Relation and Inference Search Platform applied to Colorectal Cancer Data. - Samuel Budd; Arno Blaas; Adrienne Hoarfrost; Kia Khezeli; Krittika D'Silva; Frank Soboczenski; Graham Mackintosh; Nicholas Chia; John Kalantari (LifeTech, 2021)

Next-Gen Machine Learning Supported Diagnostic Systems for Spacecraft. - Athanasios Vlontzos; Gabriel Sutherland; Siddha Ganju; Frank Soboczenski (CoRR, 2021)

On Invariance Penalties for Risk Minimization. - Kia Khezeli; Arno Blaas; Frank Soboczenski; Nicholas Chia; John Kalantari (CoRR, 2021)

Invariant Risk Minimisation for Cross-Organism Inference: Substituting Mouse Data for Human Data in Human Risk Factor Discovery. - Odhran O'Donoghue; Paul Duckworth; Giuseppe Ughi; Linus Scheibenreif; Kia Khezeli; Adrienne Hoarfrost; Samuel Budd; Patrick Foley; Nicholas Chia; John Kalantari; Graham Mackintosh; Frank Soboczenski; et al. (CoRR, 2021)

Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health. - Ryan T. Scott; Erik L. Antonsen; Lauren M. Sanders; Jaden J. A. Hastings; Seung-Min Park; Graham Mackintosh; Robert J. Reynolds; Adrienne L. Hoarfrost; Aenor Sawyer; Casey S. Greene; Benjamin S. Glicksberg; Corey A. Theriot; et al. (CoRR, 2021)

Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs. - Lauren M. Sanders; Jason H. Yang; Ryan T. Scott; Amina Ann Qutub; Héctor García Martín; Daniel C. Berrios; Jaden J. A. Hastings; Jon Rask; Graham Mackintosh; Adrienne L. Hoarfrost; Stuart J. Chalk; John Kalantari; et al. (CoRR, 2021)

Biological research and self-driving labs in deep space supported by artificial intelligence. - Lauren M. Sanders; Ryan T. Scott; Jason H. Yang; Amina Ann Qutub; Héctor García Martín; Daniel C. Berrios; Jaden J. A. Hastings; Jon Rask; Graham Mackintosh; Adrienne L. Hoarfrost; Stuart J. Chalk; John Kalantari; et al. (Nat. Mac. Intell., 2023)

Biomonitoring and precision health in deep space supported by artificial intelligence. - Ryan T. Scott; Lauren M. Sanders; Erik L. Antonsen; Jaden J. A. Hastings; Seung-Min Park; Graham Mackintosh; Robert J. Reynolds; Adrienne L. Hoarfrost; Aenor Sawyer; Casey S. Greene; Benjamin S. Glicksberg; Corey A. Theriot; et al. (Nat. Mac. Intell., 2023)

Question answering systems for health professionals at the point of care - a systematic review. - Gregory Kell; Angus Roberts; Serge Umansky; Linglong Qian; Davide Ferrari; Frank Soboczenski; Byron C. Wallace; Nikhil Patel; Iain James Marshall (J. Am. Medical Informatics Assoc., 2024)